An accelerated gradient method for parameter optimization with non-linear constraints.
Accelerated gradient method for numerical solution of parameter optimization problems with nonlinear constraints
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Accelerated gradient method for numerical solution of parameter optimization problems with nonlinear constraints
Variational perturbation equations and time- independent Schroedinger equation for two-, three- and four-electron atoms
Atomic and molecular time-dependent quantum- mechanical perturbation theory with differential equation formulation within Hartree-Fock approximation
Digital simulation of boundary value problems of trajectory optimization, using variational and functional analysis and IBM-FORMAC language
Simulation of pursuit-evasion differential game using variational method, comparing performance of human pilot to optimal pursuer
Variational bounds on eigenphase shifts in scattering theory obtained by SB and R approaches
Reissner variational formulation of temperature distribution boundary value problem of axisymmetric thermal stresses in isotropic sandwich shells of revolution
Dipole transition integrals for nonmetal resonance transitions
Digital simulation of boundary value problems of trajectory optimization, using variational and functional analysis and IBM-FORMAC language
Parametric input/output relation of approximate controller with optimized performance index, obtaining specific optimal control designed in regard to worst initial state
Parameter and domain dependence of eigenvalues of elliptic partial differential equations
Variational formula for antenna impedance in warm magnetoplasma, considering force and fluid-flux distribution
Determining sign of second variation in optimal control theory
Intermolecular forces theory, considering hydrogen atom interaction through Born- Oppenheimer approximation and variational calculations
Hamilton-Jacobi theory on calculus of variations applied to trajectory optimization
Maxima-minima theory, Pontryagin principle, and calculus of variations for optimal trajectory and control analysis
Pontryagin maximum principle, calculus of variations, and dynamic programming optimization techniques applied to trajectory and guidance problems
Applying calculus of variations to optimal guidance problems, and symbolic programming of polynomials